Evidence map›Paper›PMID 37816783›Full record

ArticleScientific reports2023

γ-Aminobutyric acids (GABA) and serum GABA/AABA (G/A) ratio as potential biomarkers of physical performance and aging.

Charalampos Lyssikatos, Zhiying Wang, Ziyue Liu, Stuart J Warden, Lynda Bonewald, Marco Brotto

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  6. GABA-Producing Capabilities ofJournal of microbiology and biotechnology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Charalampos Lyssikatos *Indiana Center for Musculoskeletal Health, Indiana University School of Medicine, Indianapolis, IN, USA.
Zhiying Wang *Bone-Muscle Research Center, College of Nursing and Health Innovation, University of Texas-Arlington, 655 W. Mitchell Street, Science-Engineering-Innovation Research (SEIR) Suite 272, Arlington, TX, 76010, USA.
Ziyue LiuIndiana Center for Musculoskeletal Health, Indiana University School of Medicine, Indianapolis, IN, USA.
Stuart J WardenIndiana Center for Musculoskeletal Health, Indiana University School of Medicine, Indianapolis, IN, USA.
Lynda BonewaldIndiana Center for Musculoskeletal Health, Indiana University School of Medicine, Indianapolis, IN, USA.
Marco BrottoBone-Muscle Research Center, College of Nursing and Health Innovation, University of Texas-Arlington, 655 W. Mitchell Street, Science-Engineering-Innovation Research (SEIR) Suite 272, Arlington, TX, 76010, USA. marco.brotto@uta.edu.
Indiana University School of MedicineThe University of Texas at Arlington · USIndiana University Indianapolis · US

Funding

Transgenic and Mechanical Loading CoreP01AG039355 · NIA · UNIVERSITY OF MISSOURI KANSAS CITY · PI BONEWALD, LYNDA F · 2012 to 2024
$19.3M
Resource CoreP30AR072581 · NIAMS · INDIANA UNIVERSITY INDIANAPOLIS · PI Sharon M Moe · 2017 to 2026
$8.3M
NIAMS NIH HHS P30 AR072581NIA NIH HHS P01 AG039355
6 · The paper itself

Abstract

Declining physical performance with age and disease is an important indicator of declining health. Biomarkers that identify declining physical performance would be useful in predicting treatment outcomes and identifying potential therapeutics. γ-aminobutyric acid (GABA), a muscle autocrine factor, is a potent inhibitor of muscle function and works as a muscle relaxant. L-α-aminobutyric acid (L-AABA) is a biomarker for malnutrition, liver damage, and depression. We sought to determine if GABA and L-AABA may be useful for predicting physical performance. Serum levels of GABA and L-AABA were quantified in 120 individuals divided by age, sex, and physical capacity into low, average, and high performer groups. Analyses explored correlations between serum levels and physical performance. Both GABA and the ratio of GABA/AABA (G/A), but not AABA, were highly positively associated with age (Pearson correlations r = 0.35, p = 0.0001 for GABA, r = 0.31, p = 0.0007 for G/A, n = 120). GABA showed negative associations in the whole cohort with physical performance [fast gait speed, 6 min walk test (6MWT), PROMIS score, and SF36PFS raw score] and with subtotal and femoral neck bone mineral density. L-AABA was positively associated with usual gait speed, 6MWT, total SPPB score, and SF36PFS raw score in the total cohort of 120 human subjects, also with 6MWT and SF36PFS raw score in the 60 male subjects, but no associations were observed in the 60 females. As both GABA and L-AABA appear to be indicative of physical performance, but in opposite directions, we examined the G/A ratio. Unlike GABA, the G/A ratio showed a more distinct association with mobility tests such as total SPPB score, usual and fast gait speed, 6MWT, and SF36PFS raw score in the males, regardless of age and metabolic status. Serum G/A ratio could be potentially linked to physical performance in the male population. Our findings strongly suggest that GABA, L-AABA, and the G/A ratio in human serum may be useful markers for both age and physical function. These new biomarkers may significantly enhance the goal of identifying universal biomarkers to accurately predict physical performance and the beneficial effects of exercise training for older adults.

Indexed as

Aminobutyratesgamma-Aminobutyric AcidAgedAgingBiomarkersFemaleHumansMalePhysical Functional PerformanceAminobutyratesBiomarkersgamma-Aminobutyric Acid

Identifiers

PMID37816783
PMCPMC10564855
OpenAlexW4387514186

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.